Alejandro Saucedo
Alejandro is the Director of the Markets AI, Data & Platform at Zalando SE, where he is responsible for petabyte-scale AI & Data platforms that power the Pricing, Traffic and Trading technology across the group. He is also Scientific Advisor at the Institute for Ethical AI, where he has led contributions to EU policy, including the AI Act, the Data Act and the Digital Services Act, among others. Alejandro is currently appointed as AI Expert at the United Nations and the European Commission, and serves as Board Member at the ACM's Board of Directors.
Session
This talk is an exciting journey that revisits the past decade of Production Machine Learning from 2015 until now, and provides a pragmatic outlook of the next decade towards 2035. We’ll revisit some of the cornerstone python projects that served as the foundation of the "messy innovation" boom (feature stores, orchestration, model serving, monitoring), as well as how it transitioned towards the LLMOps era shifting the stack from training-centric to inference-centric. We will also provide a pragmatic set of predictions for the next decade of MLOps, including some of the trends in ML monitoring, agentic systems and beyond - this will provide actionable guidance to all practitioners to ensure we stay ahead of the curve on the expected skills and domains required to thrive in the near future to come.